amazon web services Archives

My AWS Certified SYSOPS Administrator – Associate (SOA-C02) Exam Experience
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My AWS Certified SYSOPS Administrator – Associate (SOA-C02) Exam Experience

Nestor Mayagma Jr.2024-02-21T00:19:52+00:00

I recently took and passed the AWS Certified SysOps Administrator Associate Exam and wanted to share my experience. This was a challenging yet rewarding journey, and I hope my insights will help those planning to take the same path. About the Exam The AWS Certified SysOps Administrator Associate ( SOA-C02 ) is consistently among the top paying IT certifications, considering that Amazon Web Services is the leading cloud services platform in the world with almost 50% market share! The AWS Certified SysOps Administrator Associate exam is specifically designed to validate the technical knowledge of AWS SysOps Administrators, Systems Administrators, and those in a DevOps role [...]

My AWS Certified SYSOPS Administrator – Associate (SOA-C02) Exam ExperienceNestor Mayagma Jr.2024-02-21T00:19:52+00:00

VPC Interface Endpoint vs. Gateway Endpoint in AWS
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VPC Interface Endpoint vs. Gateway Endpoint in AWS

Irene Bonso2024-02-16T03:44:21+00:00

What is a VPC Endpoint? With a VPC endpoint, you can establish a private connection to specific AWS services and VPC endpoint services through AWS PrivateLink. It eliminates the need for public IP addresses for communication between these services and your Amazon VPC instances. Furthermore, a secure connection is maintained since no information leaves the Amazon network while traveling between your Amazon VPC and the service. VPC endpoints are virtual devices that enable communication between instances in an Amazon VPC and various services. These endpoints enhance network traffic without compromising availability or restricting bandwidth. They are designed to scale horizontally, [...]

VPC Interface Endpoint vs. Gateway Endpoint in AWSIrene Bonso2024-02-16T03:44:21+00:00

Securing Application Logs with Amazon Comprehend
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Securing Application Logs with Amazon Comprehend

Lesmon Andres Lenin Saluta2024-02-07T03:19:12+00:00

Security is one of the more overlooked aspects that many fall victim to when designing the architecture of applications. Partnering this lack of security priority with the increasing value of personal user data, security breaches become one of the certain ways for companies to lose user trust, face legal charges, and, in the long run, fail. Various governments developed data compliance laws to set minimum guidelines for security in data handling by data stakeholders. These laws govern the collecting, processing, storing, and sharing of personal and sensitive information to protect individuals' privacy and data security. Although regulations may vary depending [...]

Securing Application Logs with Amazon ComprehendLesmon Andres Lenin Saluta2024-02-07T03:19:12+00:00

Release with a Pipeline: Continuous Delivery to AWS with GitHub Actions
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Release with a Pipeline: Continuous Delivery to AWS with GitHub Actions

Kaye Alvarado2024-01-24T01:07:44+00:00

This is the final part of a three-part article about a Web Application Project from building a private infrastructure to building a deployment pipeline using AWS’ cloud-native continuous delivery service AWS CodePipeline, and now finalizing the infrastructure to be accessible in a public domain and building a pipeline for continuous deployment using a third-party CD tool – GitHub Actions. From the private infrastructure previously built, we will update the S3 policy to add a statement for an allowed action for the CloudFront resource. As best practice, this statement will be added to the Terraform script of the infrastructure to make it [...]

Release with a Pipeline: Continuous Delivery to AWS with GitHub ActionsKaye Alvarado2024-01-24T01:07:44+00:00

Securing Machine Learning Pipelines: Best Practices in Amazon SageMaker
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Securing Machine Learning Pipelines: Best Practices in Amazon SageMaker

John Patrick Laurel2024-01-17T00:45:41+00:00

Introduction In today's digital era, the importance of security in machine learning (ML) pipelines cannot be overstated. As ML systems increasingly become integral to business operations and decision-making, ensuring the integrity and security of these systems is paramount. A breach or a flaw in an ML pipeline can lead to compromised data, erroneous decision-making, and potentially catastrophic consequences for businesses and individuals alike. This section will delve into why securing ML pipelines is crucial, highlighting the potential risks and impacts of security lapses. Short Introduction to Amazon SageMaker Amazon SageMaker is a fully managed service that provides every developer and [...]

Securing Machine Learning Pipelines: Best Practices in Amazon SageMakerJohn Patrick Laurel2024-01-17T00:45:41+00:00

Training an Image Classification Model with TensorFlow in Amazon SageMaker
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Training an Image Classification Model with TensorFlow in Amazon SageMaker

John Patrick Laurel2024-01-15T12:39:38+00:00

Introduction In today's digital age, where data is as vital as currency, the power of Machine Learning (ML) in transforming industries is undeniable. From self-driving cars to personalized medicine, ML models are at the heart of many technological breakthroughs. Among the various tools and frameworks available for ML, TensorFlow has emerged as a leader, renowned for its versatility and scalability. This article aims to demystify the process of training an Image Classification model using TensorFlow, specifically within the Amazon SageMaker environment. For beginners and intermediate enthusiasts alike, navigating through TensorFlow's complexities and harnessing the power of SageMaker can seem daunting. [...]

Training an Image Classification Model with TensorFlow in Amazon SageMakerJohn Patrick Laurel2024-01-15T12:39:38+00:00

Building a Deployment Pipeline for a React Application with AWS CodePipeline
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Building a Deployment Pipeline for a React Application with AWS CodePipeline

Kaye Alvarado2024-01-07T02:48:10+00:00

This is the second part of a series of blogs about the platform management of a React Application infrastructure by adding a continuous deployment component to the earlier infrastructure. In an earlier article, I wrote about how a private react application infrastructure can be deployed with Terraform code. Now, we will explore this further by building a deployment pipeline using AWS CodePipeline. Let's assume that the source code of the React web application is hosted on GitHub. Using the GitHub connections feature of AWS CodePipeline, we can authorize the third-party provider to work with AWS resources to establish integration between [...]

Building a Deployment Pipeline for a React Application with AWS CodePipelineKaye Alvarado2024-01-07T02:48:10+00:00

Train and Deploy a Scikit-Learn Model in Amazon SageMaker
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Train and Deploy a Scikit-Learn Model in Amazon SageMaker

John Patrick Laurel2024-01-05T10:10:06+00:00

Introduction In the ever-evolving world of machine learning (ML), the ability to efficiently train and deploy models is crucial for turning innovative ideas into real-world applications. This is where Amazon SageMaker, a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly, stands out. Amazon SageMaker streamlines the machine learning workflow, offering a broad set of capabilities that are designed to enable users to focus more on the problem at hand and less on the underlying infrastructure. While SageMaker comes equipped with built-in algorithms and support for various [...]

Train and Deploy a Scikit-Learn Model in Amazon SageMakerJohn Patrick Laurel2024-01-05T10:10:06+00:00

Securing LLMs with Guardrails for Amazon Bedrock
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Securing LLMs with Guardrails for Amazon Bedrock

Kaye Alvarado2024-01-03T00:32:13+00:00

One of the pillars of the AWS Well-Architected Framework is security. It is a foundational concept when running your workloads in the cloud to think about privacy, access limits, compliance with regulatory requirements, and data protection; and this includes Amazon Bedrock. Along with several AI announcements during the keynote of AWS CEO, Adam Selipsky during AWS re:Invent 2023 was Guardrails for Amazon Bedrock. As AI technology evolves and becomes more mature, it makes sense to also reinvent the way usage is handled by security safeguards. Guardrails for Amazon Bedrock allow security policies to be applied across foundational models, to fulfill [...]

Securing LLMs with Guardrails for Amazon BedrockKaye Alvarado2024-01-03T00:32:13+00:00

Building a Private React Application Infrastructure with Terraform
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Building a Private React Application Infrastructure with Terraform

Kaye Alvarado2024-01-02T03:12:00+00:00

This is the first part of a series of blogs about the platform management of a React Application infrastructure using Terraform. In the early phases of a software development project, it is mandatory to have the application reviewed by security way before the Beta release to ensure that the app adheres to the standards of a secure web application and is able to protect the sensitive data it handles. Most of the time, DevOps Engineers are tasked to deploy the web application in a private domain to allow the initial load testing, penetration testing, and other security-related testing while keeping [...]

Building a Private React Application Infrastructure with TerraformKaye Alvarado2024-01-02T03:12:00+00:00